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– Ordinary level
"... • Conclusion Brief introduction on fasting • Fasting in Ramadan – one of the pillars in Islam • Fast between dawn until sunset (duration varies across the globe & seasons) for about 29 or 30 days • No eating, drinking (of course, not the beer or wine!) and sexual relationship (for husbandwife) ..."
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wife) during day hours • Fasting as a test of obedience and patience • More rewards for existing obligatory rituals (e.g. 5 times daily prayer), good deeds and optional daily activities. • As a mean to attain taqwa (piety) • Two levels of fasting
Ordinary Members
, 1992
"... DUMFRIES Published by the Council of the Society OFFICEBEARERS 199 192 and ..."
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DUMFRIES Published by the Council of the Society OFFICEBEARERS 199 192 and
ORDINARY DIFFERENTIAL EQUATIONS Equivalence of Ordinary Differential Equations
, 2005
"... Reduction of nonlinear equations of mathematical physics (the Boussinesq, Korteweg–de Vries, and sineGordon equation, etc.) often leads to the integration of an ordinary differential equation of the form [1, pp. 34, 52, 72, 100] y′ ′ = R(x, y)y′2 + 2Q(x, y)y ′ + P (x, y). (1) ..."
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Reduction of nonlinear equations of mathematical physics (the Boussinesq, Korteweg–de Vries, and sineGordon equation, etc.) often leads to the integration of an ordinary differential equation of the form [1, pp. 34, 52, 72, 100] y′ ′ = R(x, y)y′2 + 2Q(x, y)y ′ + P (x, y). (1)
THE LATTICE OF ORDINARY SMOOTH TOPOLOGIES
"... Abstract. Lim et al. [5] introduce the notion of ordinary smooth topologies by considering the gradation of openness[resp. closedness] of ordinary subsets of X. In this paper, we study a collection of all ordinary smooth topologies on X, say OST(X), in the sense of a lattice. And we prove that OST( ..."
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Abstract. Lim et al. [5] introduce the notion of ordinary smooth topologies by considering the gradation of openness[resp. closedness] of ordinary subsets of X. In this paper, we study a collection of all ordinary smooth topologies on X, say OST(X), in the sense of a lattice. And we prove that OST
Ordinary Differential Equations In Pharmacodynamics
, 2004
"... Mathematical models in pharmacodynamics often describe the evolution of pharmacological processes in terms of systems of linear or nonlinear ordinary differential equations. The objective of this course is to show how one can "read" these equations and draw conclusions from them about the ..."
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Mathematical models in pharmacodynamics often describe the evolution of pharmacological processes in terms of systems of linear or nonlinear ordinary differential equations. The objective of this course is to show how one can "read" these equations and draw conclusions from them about
Ordinary and Bayesian Shrinkage Estimation
"... In this paper a variety of shrinkage methods for estimating unknown population parameters has been considered. Aprior distribution for the parameters around their natural origins has been postulated and the ordinary Bayes estimators are used in place of natural origins in the ordinary shrinkage esti ..."
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In this paper a variety of shrinkage methods for estimating unknown population parameters has been considered. Aprior distribution for the parameters around their natural origins has been postulated and the ordinary Bayes estimators are used in place of natural origins in the ordinary shrinkage
Nonlinear Ordinary Differential Equations
"... These notes are concerned with initial value problems for systems of ordinary differential equations. Here our emphasis will be on nonlinear phenomena and properties, particularly those with physical relevance. Finding a solution to a differential equation may not be so important if that solution n ..."
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These notes are concerned with initial value problems for systems of ordinary differential equations. Here our emphasis will be on nonlinear phenomena and properties, particularly those with physical relevance. Finding a solution to a differential equation may not be so important if that solution
EVALUATION OF ORDINARY RIDGE REGRESSION By
, 1977
"... We consider the standard model for multiple linear regression, Y=lpEXp+s,(1. 1) where 1 is an n X1 vector whose components are all one, X is an n X po matrix of rank po consisting of n observations on po regressors, Y is an n X 1 vector of the ..."
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We consider the standard model for multiple linear regression, Y=lpEXp+s,(1. 1) where 1 is an n X1 vector whose components are all one, X is an n X po matrix of rank po consisting of n observations on po regressors, Y is an n X 1 vector of the
Results 1  10
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127,829